Unlock the Power of Machine Learning: Learn the Techniques that are Revolutionizing Industry!
Machine Learning is transforming the world as we know it. From improving healthcare to predicting market trends, this innovative technology…
The Future Is Here: The Latest News And Developments In The World Of AI!
Artificial intelligence (AI) is rapidly evolving, and it is becoming an integral part of our daily lives. From business to…
An Explainable Header-Centric Framework for Large-Scale Semantic Table Interpretation and Data Quality Assessment
arXiv:2610.10541v1 Announce Type: new Abstract: Knowledge Graph (KG) quality depends not only on downstream graph validation, but also on the…
Defensive Sufficiency in a Stackelberg Model of AI Security
arXiv:2610.09892v2 Announce Type: replace-cross Abstract: Feedback from automated testing, human red teaming, and incident response can strengthen an AI system’s…
Epistemic Disturbance in the Graph Model for Conflict Resolution: State-Preserving Actions, Four-Valued Assessments, and the Distinction between Capability and Intention
arXiv:2610.11690v1 Announce Type: cross Abstract: In the graph model for conflict resolution (GMCR), a decision maker (DM) either moves the…
HI3D 3.0 (Twinkle3D): Object-specific 3D Asset Generation with High Resolution
arXiv:2610.11685v1 Announce Type: cross Abstract: Image-to-3D generation has become increasingly capable of producing objects that closely resemble the input image,…
Shared Geometry As A Rosetta Stone: Cross-Modal Alignment Without Paired Data
arXiv:2610.09411v2 Announce Type: replace-cross Abstract: Multimodal representations enable zero-shot classification and retrieval, but aligning independently trained models usually requires large…
Heavy-Tailed Memory Traces in Long-Horizon Language Agents
arXiv:2610.00010v1 Announce Type: new Abstract: Long-horizon language agents increasingly rely on external memory as a frozen world model, yet current…
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents
arXiv:2609.40253v2 Announce Type: replace-cross Abstract: Online training enables computer-use agents (CUAs) to improve through interaction with executable environments. However, existing…
Does Scaling Reinforcement Learning Really Require More Training?
arXiv:2610.01133v1 Announce Type: cross Abstract: Scaling reasoning typically spends more compute on reinforcement learning (RL) or on inference. We show…
Madeleine: Learning Involuntary Recall for Conversational Memory from Simulated Lives
arXiv:2610.01118v1 Announce Type: cross Abstract: A long-term conversational assistant must recall the right memory at the right moment, yet the…
Trust the Critic More
arXiv:2609.39247v2 Announce Type: replace-cross Abstract: Standard language model RL algorithms credit every token of a long rollout with the same…